Probabilistic Multi-Modality Image Segmentation with Partial Voluming

M Pokric; P Bromiley; NA Thacker; A. Jackson

Probabilistic Multi-Modality Image Segmentation with Partial Voluming

M Pokric, P Bromiley, NA Thacker, A. Jackson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper addresses the creation of tissue models for multi-modal medical images. Our novel multi-dimensional model represents image intensities using contributions to the signal from pure tissues and partial mixtures. Expectation Maximisation (EM) optimisation technique is used to iteratively adjust model parameters, while Bayes theory is applied to generate tissue voluem fraction maps for each segmented tissue. The technique is useful for the fusion of information in images as well as for graphical rendering.

Original language	English
Title of host publication	Proc. 10th ISMRM Scientific Meeting and Exhibition
Publisher	ISMRM
Pages	61
Publication status	Published - 2002
Event	10th ISMRM Scientific Meeting and Exhibition - Honolulu, Hawaii Duration: 18 May 2002 → 24 May 2002

Conference

Conference	10th ISMRM Scientific Meeting and Exhibition
City	Honolulu, Hawaii
Period	18/05/02 → 24/05/02

Cite this

@inproceedings{9fda765081294494a925bd7fd6d7073d,

title = "Probabilistic Multi-Modality Image Segmentation with Partial Voluming",

abstract = "This paper addresses the creation of tissue models for multi-modal medical images. Our novel multi-dimensional model represents image intensities using contributions to the signal from pure tissues and partial mixtures. Expectation Maximisation (EM) optimisation technique is used to iteratively adjust model parameters, while Bayes theory is applied to generate tissue voluem fraction maps for each segmented tissue. The technique is useful for the fusion of information in images as well as for graphical rendering.",

author = "M Pokric and P Bromiley and NA Thacker and A. Jackson",

year = "2002",

language = "English",

pages = "61",

booktitle = "Proc. 10th ISMRM Scientific Meeting and Exhibition",

publisher = "ISMRM",

address = "United States",

note = "10th ISMRM Scientific Meeting and Exhibition ; Conference date: 18-05-2002 Through 24-05-2002",

}

TY - GEN

T1 - Probabilistic Multi-Modality Image Segmentation with Partial Voluming

AU - Pokric, M

AU - Bromiley, P

AU - Thacker, NA

AU - Jackson, A.

PY - 2002

Y1 - 2002

N2 - This paper addresses the creation of tissue models for multi-modal medical images. Our novel multi-dimensional model represents image intensities using contributions to the signal from pure tissues and partial mixtures. Expectation Maximisation (EM) optimisation technique is used to iteratively adjust model parameters, while Bayes theory is applied to generate tissue voluem fraction maps for each segmented tissue. The technique is useful for the fusion of information in images as well as for graphical rendering.

AB - This paper addresses the creation of tissue models for multi-modal medical images. Our novel multi-dimensional model represents image intensities using contributions to the signal from pure tissues and partial mixtures. Expectation Maximisation (EM) optimisation technique is used to iteratively adjust model parameters, while Bayes theory is applied to generate tissue voluem fraction maps for each segmented tissue. The technique is useful for the fusion of information in images as well as for graphical rendering.

M3 - Conference contribution

SP - 61

BT - Proc. 10th ISMRM Scientific Meeting and Exhibition

PB - ISMRM

T2 - 10th ISMRM Scientific Meeting and Exhibition

Y2 - 18 May 2002 through 24 May 2002

ER -

Probabilistic Multi-Modality Image Segmentation with Partial Voluming

Abstract

Conference

Fingerprint

Cite this